Triple

T23208121
Position Surface form Disambiguated ID Type / Status
Subject God's Pocket E580514 entity
Predicate starring P1507 FINISHED
Object Peter Gerety NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Peter Gerety | Statement: [God's Pocket, starring, Peter Gerety]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Gerety
Context triple: [God's Pocket, starring, Peter Gerety]
  • A. Peter Gerety chosen
    Peter Gerety is an American character actor known for his extensive work in film and television, including roles in series like "The Wire" and "Sneaky Pete."
  • B. Harry Torczyner
    Harry Torczyner, better known as Naftali Herz Tur-Sinai, was a prominent Jewish philologist and Bible scholar who played a key role in the revival and standardization of Modern Hebrew.
  • C. George Keister
    George Keister was an American architect best known for designing prominent early 20th-century theaters and commercial buildings in New York City.
  • D. Robert Treuhaft
    Robert Treuhaft was an American labor and civil rights attorney known for his leftist activism and partnership, both personal and professional, with writer Jessica Mitford.
  • E. George Magerkurth
    George Magerkurth was an American Major League Baseball umpire active primarily in the 1930s and 1940s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907ea2b08190b97c146a4b22d293 completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:07 p.m.